Matthieu Jalibert et la théorie des 5% sur un match

But you should read the book. It would expand and deepen your understanding of sporting stats generally.

Finding value in players often depends on the stats available, and if the statistical categories are not really relevant, or misguided, then the value gets distorted or hidden. So in Baseball, OBP is more important than RBI, but that was not accepted until Bill James came along.

But as I say, best to read the book first, it’s an engaging read.

Havili is a very good super player but we’ve seen more than enough of him at test level to see that he’ll never be special at that level.

That pair (Williams was good in the early games I watched) have played every game? Could be a good thing for the Highlanders who’ve been refreshing players.

It sounds to me now like “moneyball” was just a necessity, it was like scienctest needing to come up with some random experiment to make all the other world scholars believe that Earth was round. The American sporting scene is very unique, I can totally imagine one of it’s problems is rich old owners not wanting to move with the times and understand how the game has changed. Some sort of mesiah was needed to convert the faithful.

While I’m at this point in the article I have to say, now the NRL is a sport were one would stand up and pay attention to the moneyball phenom. Like baseball, it’s a sport of hundreds of identical repetitions, and very easy to data point out.

the tailor has to cut his cloth to the material available and look to get ahead of an unfair game in the areas it has always been strong: predictive intelligence and rugby ‘smarts’

Actually while I’m still here, Opta Expected Points analysis is the one new tool I have found interesting in the age of data. Seen how the random plays out as either likely, or unlikely, in the data’s (and algorithms) has actually married very closely to how I saw a lot of contests pan out.

Engaging return article Nick. I wonder, how much of money ball is about strategy as apposed to picks, those young fella’s got ahead originally because they were picking players that played their way right? Often all you here about is in regards to players, quick phase ruck ball, one out or straight up, would be were I’d imagine the best gains are going to be for a data driven leap using an AI model of how to structure your phases. Then moving to tactically for each opposition.